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Journal ArticleDOI

Enzymatic reaction rate limits with constraints on equilibrium constants and experimental parameters

Douglas R. Bish, +1 more
- 01 Jun 1998 - 
- Vol. 47, Iss: 1, pp 37-60
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TLDR
A general methodology is presented for estimating maximum rates of enzymatic reactions based on general characteristics of enzyme reaction mechanisms, kinetic limits and thermodynamics and can be subject to additional constraints from experimental data, and thus conform to the distinctive features of the enzyme reaction.
Abstract
A general methodology is presented for estimating maximum rates of enzymatic reactions based on general characteristics of enzymatic reaction mechanisms, kinetic limits and thermodynamics. The useful range of experimentally derived kinetic parameters can also be extended by the methodology. The methodology divides the reaction mechanism into physical and chemical steps. Maximum rates that comply with kinetic and thermodynamic constraints are calculated by setting the physical rate constants to their diffusion limits and optimising the chemical rate constants subject to constraints of the reaction mechanism and overall equilibrium constant. Rate estimates from this methodology can be subject to additional constraints from experimental data, and thus conform to the distinctive features of the enzymatic reaction. The methodology is demonstrated using a reversible enzymatic reaction model involving ordered binding of two reactants and ordered release of two products (bi–bi mechanism). Numerical results are shown for alcohol dehydrogenase (EC 1.1.1.1), which has a bi–bi mechanism. Pyrophosphatase (EC 3.6.1.1) with a uni–bi mechanism and triosephosphate isomerase (EC 5.3.1.1) with a uni–uni mechanism are also examined.

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Citations
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Predicting function: from genes to genomes and back.

TL;DR: This review focuses on the added value that is provided by completely sequenced genomes in function prediction, and various levels of sequence annotation and function prediction are discussed, ranging from genomic sequence to that of complex cellular processes.
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Genome-Scale Thermodynamic Analysis of Escherichia coli Metabolism

TL;DR: A genome-scale metabolic model of Escherichia coli is constructed based on the iJR904 model developed by the Palsson Laboratory at the University of California at San Diego to facilitate the refinement of the feasible ranges for cellular parameters such as species concentrations and reaction rate constants.
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Colored Petri net modeling and simulation of signal transduction pathways.

TL;DR: The usefulness of Petri nets is demonstrated for the quantitative analysis of the signal transduction pathway and the trade-offs between modeling capability and simulation efficiency of this pathway are explored, suggesting that the Petri net model can be invaluable in the initial stage of building a dynamic model.
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Competition for enzymes in metabolic pathways: Implications for optimal distributions of enzyme concentrations and for the distribution of flux control

TL;DR: In this article, the principle of minimal total enzyme concentration at fixed steady state fluxes is applied to metabolic networks, and it is shown that a well-balanced distribution of enzymes leads to a lowering of the SD of the flux control coefficients.
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Optimal stoichiometric designs of ATP-producing systems as determined by an evolutionary algorithm.

TL;DR: This work presents an alternative approach to compute in a more efficient way the optimal design of glycolysis interacting with an external ATP-consuming reaction, based on the laws of evolution by natural selection, and may be viewed as a particular version of evolutionary algorithms.
References
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Book

Principles of Biochemistry

TL;DR: The third edition, coming ten years after the first, emphasizes both the flowering of biochemical research and the prodigious effort by busy teachers and scientists to keep up to date this popular text and reference.
Book

Enzyme structure and mechanism

TL;DR: The second edition of this biological reference aimed at undergraduates and graduates is as mentioned in this paper, which covers the structure and mechanism of enzymes, creating a guide to the current understanding of enzymology.
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Group contributions for estimating standard gibbs energies of formation of biochemical compounds in aqueous solution

TL;DR: The method provides a useful first approximation to Gibbs energies and equilibrium constants in biochemical systems and employs a large set of groups and special corrections.
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